no code implementations • Joint Conference on Lexical and Computational Semantics 2021 • Bill Noble, Asad Sayeed, Raquel Fern{\'a}ndez, Staffan Larsson
Just as the meaning of words is tied to the communities in which they are used, so too is semantic change.
no code implementations • WS 2019 • S Pezzelle, ro, Raquel Fern{\'a}ndez
In this paper, we experiment with a recently proposed visual reasoning task dealing with quantities {--} modeling the multimodal, contextually-dependent meaning of size adjectives ({`}big{'}, {`}small{'}) {--} and explore the impact of varying the training data on the learning behavior of a state-of-art system.
no code implementations • IJCNLP 2019 • S Pezzelle, ro, Raquel Fern{\'a}ndez
This work aims at modeling how the meaning of gradable adjectives of size ({`}big{'}, {`}small{'}) can be learned from visually-grounded contexts.
no code implementations • WS 2017 • Elia Bruni, Raquel Fern{\'a}ndez
We investigate the potential of adversarial evaluation methods for open-domain dialogue generation systems, comparing the performance of a discriminative agent to that of humans on the same task.
no code implementations • LREC 2016 • Sina Zarrie{\ss}, Julian Hough, Casey Kennington, Ramesh Manuvinakurike, David DeVault, Raquel Fern{\'a}ndez, David Schlangen
PentoRef is a corpus of task-oriented dialogues collected in systematically manipulated settings.
no code implementations • LREC 2012 • Maria Aloni, Andreas van Cranenburgh, Raquel Fern{\'a}ndez, Marta Sznajder
Natural languages possess a wealth of indefinite forms that typically differ in distribution and interpretation.